Spaces:
No application file
No application file
File size: 1,185 Bytes
5640549 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores.faiss import FAISS
from langchain.docstore.document import Document
from langchain.prompts import PromptTemplate
from langchain.chains.question_answering import load_qa_chain
from langchain.llms import OpenAI
def test_document(filename, query):
with open(filename) as f:
article = f.read()
text_splitter = CharacterTextSplitter(chunk_size=2000, chunk_overlap=0)
texts = text_splitter.split_text(article)
embeddings = OpenAIEmbeddings()
docsearch = FAISS.from_texts(texts, embeddings)
chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
docs = docsearch.similarity_search(query)
out = chain.run(input_documents=docs, question=query)
print(out)
document = "Summary-of-Benefits-original.txt"
print("document", document)
query = "What is my copay?"
query = "What is my copay for a mamography?"
test_document(document, query)
query = "What is my copay for a mamography?"
document = "summary-of-benefits-paragraphs.txt"
print("document", document)
test_document(document, query)
|